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08/14/2023
Fourier neural operator for learning solutions to macroscopic traffic flow models: Application to the forward and inverse problems
Deep learning methods are emerging as popular computational tools for so...
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03/24/2023
Optimal Smoothing Distribution Exploration for Backdoor Neutralization in Deep Learning-based Traffic Systems
Deep Reinforcement Learning (DRL) enhances the efficiency of Autonomous ...
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03/24/2023
Physical Backdoor Trigger Activation of Autonomous Vehicle using Reachability Analysis
Recent studies reveal that Autonomous Vehicles (AVs) can be manipulated ...
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02/16/2023
Learning-based solutions to nonlinear hyperbolic PDEs: Empirical insights on generalization errors
We study learning weak solutions to nonlinear hyperbolic partial differe...
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01/09/2023
Generalized adaptive smoothing based neural network architecture for traffic state estimation
The adaptive smoothing method (ASM) is a standard data-driven technique ...
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03/17/2022
PiDAn: A Coherence Optimization Approach for Backdoor Attack Detection and Mitigation in Deep Neural Networks
Backdoor attacks impose a new threat in Deep Neural Networks (DNNs), whe...
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05/04/2021
Learning Traffic Speed Dynamics from Visualizations
Space-time visualizations of macroscopic or microscopic traffic variable...
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02/04/2021
Incorporating Kinematic Wave Theory into a Deep Learning Method for High-Resolution Traffic Speed Estimation
We propose a kinematic wave based Deep Convolutional Neural Network (Dee...
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06/22/2020
Short-Term Traffic Forecasting Using High-Resolution Traffic Data
This paper develops a data-driven toolkit for traffic forecasting using ...
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06/15/2020
Comparative Analysis of Economic Instruments in Intersection Operation: A User-Based Perspective
Focusing on different economic instruments implemented in intersection o...
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03/17/2020
Watch your back: Backdoor Attacks in Deep Reinforcement Learning-based Autonomous Vehicle Control Systems
Autonomous Vehicles (AVs) with Deep Reinforcement Learning (DRL)-based c...
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01/08/2020
Nonlinear Traffic Prediction as a Matrix Completion Problem with Ensemble Learning
We focus on short-term traffic forecasting for traffic operations manage...
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03/11/2019
Pay to change lanes: A cooperative lane-changing strategy for connected/automated driving
This paper proposes a cooperative lane changing strategy using a transfe...
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06/22/2018
Learning Traffic Flow Dynamics using Random Fields
This paper presents a mesoscopic stochastic model for the reconstruction...
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04/22/2018